driverless ai - intro + interactive hands-on lab

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Driverless AI Webinar Arno Candel, PhD Chief Technology Officer H2O.ai, Inc. @arnocandel

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Page 1: Driverless AI - Intro + Interactive Hands-on Lab

Driverless AI WebinarArno Candel, PhD

Chief Technology Officer H2O.ai, Inc.

@arnocandel

Page 2: Driverless AI - Intro + Interactive Hands-on Lab

86 and growing!

Page 3: Driverless AI - Intro + Interactive Hands-on Lab
Page 4: Driverless AI - Intro + Interactive Hands-on Lab

Shortage of Data Scientists

Page 5: Driverless AI - Intro + Interactive Hands-on Lab

Mistake Correction

Automation needed to avoid human error

Page 6: Driverless AI - Intro + Interactive Hands-on Lab
Page 7: Driverless AI - Intro + Interactive Hands-on Lab

The “Secret Sauce” of Driverless AI: Feature Engineering

https://www.youtube.com/watch?v=VMTKcT1iHww

H2O.ai Webinar on Feature Engineering

Page 8: Driverless AI - Intro + Interactive Hands-on Lab

Hours for Driverless AI — Weeks for grandmasters

single run, fully automated: 6h on 3 GPUs

Driverless AI: 18th place in private LB (out of 2926)

Driverless AI: top 1% in BNP Paribas Kaggle competition

Copyright 2018 H2O.ai Inc. All Rights Reserved.

Page 9: Driverless AI - Intro + Interactive Hands-on Lab

Driverless AI: top 5% in Amazon Kaggle competition

Driverless AI: 80th place in private LB(out of 1687 - top 5%)

With a little bit of stacking: 20th place (top 1.5%)

Driverless AI produces feature engineering pipeline (“more columns”) for downstream use

https://www.youtube.com/watch?v=qtUNyJlAID0&t=11shttps://github.com/kaz-Anova/Competitive_Dai

Copyright 2018 H2O.ai Inc. All Rights Reserved.

Page 10: Driverless AI - Intro + Interactive Hands-on Lab

Automatic Visualization

Scalable outlier detection (no sampling)

Contains novel statistical algorithms to only show “relevant” aspects of the data

(coming soon: automated data cleaning)Copyright 2018 H2O.ai Inc. All Rights Reserved.

Page 11: Driverless AI - Intro + Interactive Hands-on Lab

Machine Learning Interpretation

Gain confidence in models before deploying them!

Copyright 2018 H2O.ai Inc. All Rights Reserved.

Page 12: Driverless AI - Intro + Interactive Hands-on Lab

MOJO: Pure Java Production Deployment• feature engineering and model scoring logic • auto-generated human-readable representation • minimal platform-independent storage format • scoring backend can be in any language (C/Java/C#/Go/etc.)

Copyright 2018 H2O.ai Inc. All Rights Reserved.

Page 13: Driverless AI - Intro + Interactive Hands-on Lab

Copyright 2018 H2O.ai Inc. All Rights Reserved.

Page 14: Driverless AI - Intro + Interactive Hands-on Lab

Feature Now Q1 2018 Q2 2018 Q3 2018

AutoDL Feature Engineering Recipe

Supervised Structured Data, CSV, Text

Overfitting and Leakage Prevention

Machine Learning Interpretation

Automatic VisualizationGUI

Python client API

Python scoring API HTTP Thrift Scoring API

Multi-GPU (shared data)

Scoring MOJO (100% Java or C)

Data connectors: HDFS, SQL

User Management: LDAP, KerberosTensorFlow Deep Learning NLP Recipes

Time Series Recipes

Multi-GPU (sharded data) - optimized for DGX Volta

UDR (User-Defined Recipes), Verticals

Multi-Node Multi-GPU - optimized for DGX Volta

Sparkling Water Backend for Driverless AI

Driverless AI Roadmap

Copyright 2018 H2O.ai Inc. All Rights Reserved.

Page 15: Driverless AI - Intro + Interactive Hands-on Lab

http://h2o.ai

WebinarsCopyright 2018 H2O.ai Inc. All Rights Reserved.

Page 16: Driverless AI - Intro + Interactive Hands-on Lab

Hands-on Lab

Copyright 2018 H2O.ai Inc. All Rights Reserved.